Update README.md

README.md

@@ -39,22 +39,35 @@ Batch Processing: Efficiently handles multiple images in a single operation.
 Usage
 
 Input an image or batch of images for background removal.
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 Select the desired AI model for background removal.
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 Adjust alpha matting settings for edge refinement if needed.
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 Apply chroma keying if working with solid color backgrounds.
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 Choose the background mode (transparent, color, or image).
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 Fine-tune the result with mask processing, edge detection, and shadow options.
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 Adjust color settings as needed.
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 Scale and position the foreground when using image backgrounds.
 
 The node outputs both the processed image(s) and the corresponding mask(s), allowing for further manipulation in your ComfyUI workflow.
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 Implementation Details
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 For developers interested in the technical aspects:
 
 Chroma Key Implementation: The apply_chroma_key function uses OpenCV (cv2) to perform color-based background removal. It converts the image to HSV color space and creates a mask based on the specified color range.
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 Image Processing Core: The process_single_image function handles the main image processing logic, including background removal, mask application, and all post-processing effects.
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 Batch Processing: The remove_background function manages batch processing and overall node operation. It uses tqdm for progress tracking during batch operations.
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 Tensor Handling: The node uses PyTorch tensors for efficient GPU processing, with helper functions tensor2pil and pil2tensor for conversion between tensor and PIL image formats.
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 Image Manipulation: Extensive use of PIL (Python Imaging Library) for various image processing tasks, including resizing, rotating, and applying filters.
 
 Installation